code: def testEncodeAndDecode(self, value_factory):
      value = value_factory()
  
      encoded = composite_tensor_ops.composite_tensor_to_variants(value)
      self.assertEqual(encoded.dtype, dtypes.variant)
      self.assertEqual(encoded.shape.rank, 0)
  
      decoded = composite_tensor_ops.composite_tensor_from_variant(
          encoded, value._type_spec
      )
      self.assertTrue(
          value._type_spec.is_compatible_with(decoded._type_spec)
      )
      value_components = nest.flatten(value, expand_composites=True)
      decoded_components = nest.flatten(decoded, expand_composites=True)
      self.assertLen(value_components, len(decoded_components))
      for v, d in zip(value_components, decoded_components):
          self.assertAllEqual(v, d)
  
imports: from absl.testing import parameterized
  from tensorflow.python.eager import backprop
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import composite_tensor_ops
  from tensorflow.python.ops import gen_composite_tensor_ops
  from tensorflow.python.ops import gen_list_ops
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import parsing_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.platform import googletest
  from tensorflow.python.util import nest
label_desc: Use image node_id 1 for calling the ExtensionTypeTest obj's underlying member method code with example usage: obj.testEncodeAndDecode(value_factory) without return types